Yolo-12-everything/datasets/train/labels/2010_004844_jpg.rf.9fbbab3ef5ad035597433df4a1e0d8e3.txt

14 0.380859375 0.900390625 0.068359375 0.177734375
5 0.7861328125 0.810546875 0.427734375 0.31640625
13 0.2734375 0.9306640625 0.177734375 0.12890625
6 0.46875 0.8984375 0.205078125 0.11328125
14 0.0693359375 0.8662109375 0.03515625 0.091796875
14 0.2763671875 0.904296875 0.0625 0.158203125
14 0.3173828125 0.892578125 0.072265625 0.154296875
14 0.3828125 0.904296875 0.06640625 0.1640625
13 0.40234375 0.9287109375 0.068359375 0.08984375
14 0.404296875 0.8515625 0.025390625 0.0625
15 0.7421875 0.5849609375 0.015625 0.02734375
14 0.91015625 0.40234375 0.033203125 0.029296875
feat(datasets): 添加新的训练和验证标签文件 - 在 train 和 valid 文件夹下添加了多个新的标签文件 - 标签文件包含不同类别的对象标注信息- 新增的标签文件将有助于模型训练和评估 2025-06-03 15:13:32 +00:00			`14 0.380859375 0.900390625 0.068359375 0.177734375`
			`5 0.7861328125 0.810546875 0.427734375 0.31640625`
			`13 0.2734375 0.9306640625 0.177734375 0.12890625`
			`6 0.46875 0.8984375 0.205078125 0.11328125`
			`14 0.0693359375 0.8662109375 0.03515625 0.091796875`
			`14 0.2763671875 0.904296875 0.0625 0.158203125`
			`14 0.3173828125 0.892578125 0.072265625 0.154296875`
			`14 0.3828125 0.904296875 0.06640625 0.1640625`
			`13 0.40234375 0.9287109375 0.068359375 0.08984375`
			`14 0.404296875 0.8515625 0.025390625 0.0625`
			`15 0.7421875 0.5849609375 0.015625 0.02734375`
			`14 0.91015625 0.40234375 0.033203125 0.029296875`